Establishment of geodetic control in Jebba Dam using CSRS - PPP processing software
Bibliographic record
Abstract
Most GPS users who require higher precision now operate differentially with respect to a known reference station to eliminate the effects of SA and significantly reduce common station errors. As the distance between a roving receiver and its reference increases, the commonality of errors is reduced and applying range corrections from a single reference station may not provide optimal results for point positioning. Daily, the Geodetic Survey Division (GSD), Natural Resources Canada (NRCan) generates precise GNSS satellite orbits and clocks in a standard format which are contributed to the International GNSS Service for Geodynamics (IGS). Higher frequency satellite clocks are subsequently computed from the Canadian Active Control System (CACS). New developments in GNSS positioning show that a user with a single GNSS receiver can obtain positioning accuracy comparable to that of differential positioning (i.e., centimeter to decimeter accuracy). In this study, the GPS data for a control point BM_AMOS was submitted to CSRS for post processing. Sources of errors and the model used in the solution are discussed. The earth and space based models for attaining the derived accuracies is highlighted
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".